Cormie Prue, McBride Jeffrey M, McCaulley Grant O
School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, Australia.
J Strength Cond Res. 2009 Jan;23(1):177-86. doi: 10.1519/JSC.0b013e3181889324.
The purpose of this investigation was to examine the impact of training on the power-, force-, and velocity-time curves of the countermovement jump (CMJ) through both cross-sectional and longitudinal comparisons. The most novel aspect of this study was the analysis of these curves for the entire movement at a sampling frequency of 386-506 Hz averaged across 30 subjects. Thirty subjects, all men, participated in this investigation and included 12 athletes and 18 untrained men. Two major comparisons were conducted: 1) an acute, cross-sectional examination comparing experienced jumpers (jump height > 0.50 m; n = 12 men's athletes) with nonjumpers (jump height < 0.50 m; n = 14 untrained men), and 2) a longitudinal examination comparing performance before and after 12 weeks of power training (training group n = 10 untrained men; control group n = 8 untrained men). Data obtained from the baseline testing session of 14 subjects involved in the longitudinal study were used for the cross-sectional examination to represent the nonjumper group. The cross-sectional examination revealed significant (p <or= 0.05) differences between jumpers and nonjumpers in peak performance variables (i.e., peak power, force, velocity, displacement) as well as over a range of time points throughout the power-, force-, velocity-, and displacement-time curves of the CMJ. Similar results were observed in the longitudinal examination, with power training eliciting significant changes to peak performance variables as well as significant changes to the power-, force-, velocity-, and displacement-time curves over a range of time points throughout the CMJ. This study illustrates that training status not only influences the peak performance variables of the countermovement jump but also impacts the shape of the power-, force-, velocity-, and displacement-time curves throughout the movement. Because analysis of peak performance variables offers little insight into how adaptations have occurred after training, examination of the changes to the power-, force-, velocity-, and/or displacement-time curves offers a simple yet powerful monitoring technique that practitioners can use to gain insight into the precise nature and timing of adaptations to training.
本研究的目的是通过横断面和纵向比较,考察训练对反向纵跳(CMJ)的功率、力量和速度-时间曲线的影响。本研究最新颖的方面是在386 - 506 Hz的采样频率下,对30名受试者的整个运动过程中的这些曲线进行分析。30名男性参与了本研究,其中包括12名运动员和18名未经训练的男性。进行了两项主要比较:1)一项急性横断面检查,比较经验丰富的跳跃者(跳跃高度> 0.50 m;n = 12名男性运动员)和非跳跃者(跳跃高度< 0.50 m;n = 14名未经训练的男性);2)一项纵向检查,比较12周力量训练前后的表现(训练组n = 10名未经训练的男性;对照组n = 8名未经训练的男性)。纵向研究中14名受试者基线测试的数据用于横断面检查,以代表非跳跃者组。横断面检查显示,跳跃者和非跳跃者在峰值表现变量(即峰值功率、力量、速度、位移)以及CMJ的功率、力量、速度和位移-时间曲线的一系列时间点上存在显著(p≤0.05)差异。纵向检查也观察到了类似的结果,力量训练使峰值表现变量发生了显著变化,并且在CMJ的一系列时间点上,功率、力量、速度和位移-时间曲线也发生了显著变化。本研究表明,训练状态不仅影响反向纵跳的峰值表现变量,还影响整个运动过程中功率、力量、速度和位移-时间曲线的形状。由于对峰值表现变量的分析几乎无法深入了解训练后适应是如何发生的,因此对功率、力量、速度和/或位移-时间曲线变化的检查提供了一种简单而强大的监测技术,从业者可以利用它来深入了解训练适应的精确性质和时间。